3,052 research outputs found
The build, operate, and transfer ("BOT") approach to infrastructure projects in developing countries
No full textBuild, operate and transfer (BOT) projects are exceedingly complex from both a financial and a legal point of view. They require an extended period of time to develop and negotiate. If a country is not able to finance all of its needed infrastructure on the basis of budgetary resources or sovereign borrowings, the BOT approach is an option to be considered. A BOT project appears to provide some"additionality"in tapping sources of private sector financing which otherwise might not be available. The sponsors'commitment of substantial equity to a project assures that they will also remain committed to the project's successful operation over the concession period. Their investment provides a strong incentive to have the project perform above its minimum expectations. Likewise, having the design, implementation and operation of a BOT project largely in the hands of the private sector may provide economies and efficiencies that will balance out or even outweight the higher financing costs of non sovereign borrowing and equity investment. The BOT approach appears to be a useful possible alternative to the conventional financing and operation of infrastructure projects in developing countries.Municipal Financial Management,Public Sector Economics&Finance,Housing Finance,Environmental Economics&Policies,Banks&Banking Reform
The False positive problem of automatic bot detection in social science research
No full textData and code for the paper "The False positive problem of automatic bot detection in social science research"
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
No full textDr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
No full textDr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
Adrian Matejka, 34th Annual ODU Literary Festival
No full textAdrian Matejka is the author of The Devil’s Garden and Mixology, which was a winner of the 2008 National Poetry Series. He is the recipient of two Illinois Arts Council Literary Awards and fellowships from Cave Canem and the Lannan Foundation. His work has been featured in American Poetry Review, The Best American Poetry 2010, and Ploughshares, among other journals and anthologies. He teaches at Southern Illinois University Edwardsville
Performing the archive: following in the footsteps
No full textUsing documentation of Mike Pearson's performance 'Bubbling Tom', Deirdre Heddon attempts to step into his shoes and re-perform it
Social Identity & Bot Recognition
No full textResearch Project that seeks to identify identity management processes involved in Social Bot recognition and engagemen
Social Identity & Bot Recognition
No full textSocial bots that aim to distort public opinion represent a novel threat to digitalized societies. Current bot research has largely prioritized technological issues and left out psychological factors related to ordinary online users. The present research addresses this gap and adds to a growing literature that emphasizes the role of partisan-based motivated reasoning as a “human factor” that facilitates bot spreading. Based on a survey of N = 452 US-American partisans, we report strong evidence that partisan-based motivated reasoning distorts online users’ perceptions of bot-associated dangers in an ingroup-favourable manner. In a subsequent online experiment with a sample of Democrat and Republican Twitter users (N = 619), partisanship caused systematic errors in the categorization of bots as human-driven profiles and vice versa. Also asking participants’ intentions to engage with profiles, the same data implies that partisan-based motivated reasoning likely jeopardizes users’ motivation to avoid bots when navigating social media
Social Identity & Bot Recognition
No full textSocial bots that aim to distort public opinion represent a novel threat to digitalized societies. Current bot research has largely prioritized technological issues and left out psychological factors related to ordinary online users. The present research addresses this gap and adds to a growing literature that emphasizes the role of partisan-based motivated reasoning as a “human factor” that facilitates bot spreading. Based on a survey of N = 452 US-American partisans, we report strong evidence that partisan-based motivated reasoning distorts online users’ perceptions of bot-associated dangers in an ingroup-favourable manner. In a subsequent online experiment with a sample of Democrat and Republican Twitter users (N = 619), partisanship caused systematic errors in the categorization of bots as human-driven profiles and vice versa. Also asking participants’ intentions to engage with profiles, the same data implies that partisan-based motivated reasoning likely jeopardizes users’ motivation to avoid bots when navigating social media
Social Identity & Bot Recognition
No full textSocial bots that aim to distort public opinion represent a novel threat to digitalized societies. Current bot research has largely prioritized technological issues and left out psychological factors related to ordinary online users. The present research addresses this gap and adds to a growing literature that emphasizes the role of partisan-based motivated reasoning as a “human factor” that facilitates bot spreading. Based on a survey of N = 452 US-American partisans, we report strong evidence that partisan-based motivated reasoning distorts online users’ perceptions of bot-associated dangers in an ingroup-favourable manner. In a subsequent online experiment with a sample of Democrat and Republican Twitter users (N = 619), partisanship caused systematic errors in the categorization of bots as human-driven profiles and vice versa. Also asking participants’ intentions to engage with profiles, the same data implies that partisan-based motivated reasoning likely jeopardizes users’ motivation to avoid bots when navigating social media
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